{"id":"W4411688701","doi":"10.1109/drcn65040.2025.11046142","title":"Constraint-Based Risk and Revenue Optimization for Network Disaster Recovery","year":2025,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Constraint (computer-aided design); Revenue; Computer science; Operations research; Business; Engineering; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003136073,0.00006981765,0.0001031166,0.00002968135,0.0001212275,0.0001643618,0.0001801675,0.00004111199,0.000003696103],"category_scores_gemma":[0.00005022471,0.00006272128,0.00003650017,0.0001792575,0.00002271923,0.0000838299,0.0000484278,0.00003965607,0.000001812488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001117609,"about_ca_system_score_gemma":0.00005316421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001433559,"about_ca_topic_score_gemma":0.000006660249,"domain_scores_codex":[0.9993874,0.0000594997,0.0001484209,0.0002111123,0.00004634468,0.0001472455],"domain_scores_gemma":[0.9994007,0.000262105,0.00006146841,0.0002026186,0.00004415497,0.00002891925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001553145,0.00001994586,0.002266255,0.00005637287,0.00002470165,7.700195e-7,0.00004758477,0.8715367,0.000002155022,0.03640017,0.04125605,0.04837381],"study_design_scores_gemma":[0.000363025,0.0000377355,0.0002263245,0.0000772166,0.000006869511,0.000001031178,0.000006326341,0.9809667,0.000006819402,0.00342133,0.01480595,0.00008059596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005851303,0.00009831085,0.9958293,0.0003942835,0.0005426001,0.0002050311,0.00002534336,0.00007464497,0.002245369],"genre_scores_gemma":[0.5248618,0.000008470253,0.4723158,0.0008585745,0.0001241585,0.0000246917,0.00003069852,0.000005040805,0.001770727],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5242767,"threshold_uncertainty_score":0.25577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007497377525737042,"score_gpt":0.2273753393037348,"score_spread":0.2198779617779978,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}